Courses

I was a TA for the course in 3 semesters and got a chance to teach a diverse class of ~250 students. The course taught software engineering concepts and developing a large software (from idea to release) throughout the semester in a team of four.

This is one of the largest computer science classes taught at Iowa State. The course was extensive in teaching advanced programming through unmanaged languages, which allowed students to learn memory management, concurrent and network programming, etc. I taught the course for three semesters and invested most of the time with students in problem-solving, live coding, debugging, and testing.

This combined undergraduate/graduate course introduced students to software engineering principles and practices, with a special emphasis on AI-enabled systems. Students learned how to adapt the SDLC to AI projects, explored responsible AI properties, and applied these concepts in a semester-long team project. The course integrated scholarly engagement through paper reviews and encouraged discussion on the ethical and creative use of LLMs in software development. Special attention was given to active learning strategies that work effectively in large classes.

This graduate-level focused on the engineering of AI-enabled systems that satisfy key Responsible AI principles—fairness, robustness, safety, and explainability. Students examined real-world risks such as bias amplification, unsafe autonomy, and AI hallucinations, and learned rigorous methods for evaluating, testing, and mitigating these challenges. Through a mix of lectures, research paper discussions, presentations, and a substantial hands-on project, students gained both theoretical understanding and practical skills for building AI responsibly.